The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Maternal pre-pregnancy BMI and gestational weight gain, offspring DNA methylation and later offspring adiposity: findings from the Avon Longitudinal Study of Parents and Children
Open accessAbstract
BACKGROUND: Evidence suggests that in utero exposure to undernutrition and overnutrition might affect adiposity in later life. Epigenetic modification is suggested as a plausible mediating mechanism. METHODS: We used multivariable linear regression and a negative control design to examine offspring epigenome-wide DNA methylation in relation to maternal and offspring adiposity in 1018 participants. RESULTS: Compared with neonatal offspring of normal weight mothers, 28 and 1621 CpG sites were differentially methylated in offspring of obese and underweight mothers, respectively [false discovert rate (FDR)-corrected P-value < 0.05), with no overlap in the sites that maternal obesity and underweight relate to. A positive association, where higher methylation is associated with a body mass index (BMI) outside the normal range, was seen at 78.6% of the sites associated with obesity and 87.9% of the sites associated with underweight. Associations of maternal obesity with offspring methylation were stronger than associations of paternal obesity, supporting an intrauterine mechanism. There were no consistent associations of gestational weight gain with offspring DNA methylation. In general, sites that were hypermethylated in association with maternal obesity or hypomethylated in association with maternal underweight tended to be positively associated with offspring adiposity, and sites hypomethylated in association with maternal obesity or hypermethylated in association with maternal underweight tended to be inversely associated with offspring adiposity. CONCLUSIONS: Our data suggest that both maternal obesity and, to a larger degree, underweight affect the neonatal epigenome via an intrauterine mechanism, but weight gain during pregnancy has little effect. We found some evidence that associations of maternal underweight with lower offspring adiposity and maternal obesity with greater offspring adiposity may be mediated via increased DNA methylation.
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Cites
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
Aryee, M. J., Jaffe, A. E., Corrada-Bravo, H., Ladd-Acosta, C., Feinberg, A. P., Hansen, K. D., & Irizarry, R. A. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu049 · Cited by 4,397
Weight Gain During Pregnancy: Reexamining the Guidelines
Rasmussen, K. M., & Yaktine, A. L. (2009) · Cited by 4,056
DNA methylation arrays as surrogate measures of cell mixture distribution
Houseman, E. A., Accomando, W. P., Koestler, D. C., Christensen, B. C., Marsit, C. J., Nelson, H. H., Wiencke, J. K., & Kelsey, K. T. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-86 · Cited by 3,175
Persistent epigenetic differences associated with prenatal exposure to famine in humans
Heijmans, B. T., Tobi, E. W., Stein, A. D., Putter, H., Blauw, G. J., Susser, E. S., Slagboom, P. E., & Lumey, L. H. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806560105 · Cited by 3,082
Boyd, A., Golding, J., Macleod, J., Lawlor, D. A., Fraser, A., Henderson, J., Molloy, L., Ness, A., Ring, S., & Davey Smith, G. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dys064 · Cited by 2,996
Self-citationCohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort
Fraser, A., Macdonald-Wallis, C., Tilling, K., Boyd, A., Golding, J., Davey Smith, G., Henderson, J., Macleod, J., Molloy, L., Ness, A., et al. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dys066 · Cited by 2,494
Self-citationDu, P., Zhang, X., Huang, C.-C., Jafari, N., Kibbe, W. A., Hou, L., & Lin, S. M. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-587 · Cited by 2,136
High density DNA methylation array with single CpG site resolution
Bibikova, M., Barnes, B., Tsan, C., Ho, V., Klotzle, B., Le, J. M., Delano, D., Zhang, L., Schroth, G. P., Gunderson, K. L., et al. (2011) · Genomics · doi:10.1016/j.ygeno.2011.07.007 · Cited by 1,727 · cited 1×
“32 Data were pre-processed in R (version 3.0.1) with the WateRmelon package 33 according to the subset quantile normalization approach described by Touleimat and Tost 34 in an attempt to reduce the non-biological differences between probes.”
InfluentialTobi, E. W., Lumey, L. H., Talens, R. P., Kremer, D., Putter, H., Stein, A. D., Slagboom, P. E., & Heijmans, B. T. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp353 · Cited by 1,155
Cited by
Influence of Maternal Obesity on the Long-Term Health of Offspring
Godfrey, K. M., Reynolds, R. M., Prescott, S. L., Nyirenda, M., Jaddoe, V. W. V., Eriksson, J. G., & Broekman, B. F. P. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30107-3 · Cited by 1,059
Obesity Pathogenesis: An Endocrine Society Scientific Statement
Schwartz, M. W., Seeley, R. J., Zeltser, L. M., Drewnowski, A., Ravussin, E., Redman, L. M., & Leibel, R. L. (2017) · Endocrine Reviews · doi:10.1210/er.2017-00111 · Cited by 727
Voerman, E., Santos, S., Patro Golab, B., Amiano, P., Ballester, F., Barros, H., Bergström, A., Charles, M.-A., Chatzi, L., Chevrier, C., et al. (2019) · PLOS Medicine · doi:10.1371/journal.pmed.1002744 · Cited by 518
Self-citationEpigenetics and DOHaD: From Basics to Birth and Beyond
Bianco-Miotto, T., Craig, J. M., Gasser, Y. P., van Dijk, S. J., & Ozanne, S. E. (2017) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174417000733 · Cited by 361
Data Resource Profile: Accessible Resource for Integrated Epigenomic Studies (ARIES)
Relton, C. L., Gaunt, T., McArdle, W., Ho, K., Duggirala, A., Shihab, H., Woodward, G., Lyttleton, O., Evans, D. M., Reik, W., et al. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv072 · Cited by 286
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Metadata
- Authors
- Sharp, G. C., Lawlor, D. A., Richmond, R. C., Fraser, A., Simpkin, A., Suderman, M., Shihab, H. A., Lyttleton, O., McArdle, W., Ring, S. M., Gaunt, T. R., Davey Smith, G., & Relton, C. L.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-04-08
- Volume
- 44
- Issue
- 4
- Pages
- 1288-1304
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2101675838
- Cited by
- 286
- References
- 49
- FWCI
- 29.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Sharp, G. C., Lawlor, D. A., Richmond, R. C., Fraser, A., Simpkin, A., Suderman, M., Shihab, H. A., Lyttleton, O., McArdle, W., Ring, S. M., Gaunt, T. R., Davey Smith, G., & Relton, C. L. (2015). Maternal pre-pregnancy BMI and gestational weight gain, offspring DNA methylation and later offspring adiposity: findings from the Avon Longitudinal Study of Parents and Children. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyv042
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